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dc.contributor.advisorTummala, Murali
dc.contributor.authorDal Santo, Paul S.
dc.dateSeptember 1988
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractSystem identification concerns the mathematical modeling of a system based upon its input and output. It allows the development of a mathematical description when all that is available is the result of a process or the output of a system and not the process or system itself. The purpose of this thesis is to develop algorithms for modeling systems as autoregressive-moving-average processes using the method of instrumental variables, a modification of the ordinary least-squares technique, and a multichannel method based upon processing the input and output data by separate infinite-response filters. The methods developed are tested by computer simulation using several second and third-order test cases and the results are presenteden_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshElectrical and computer engineeringen_US
dc.titleSystem identification by ARMA modelingen_US
dc.contributor.secondreaderZiomek, Lawrence J.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Electrical and Computer Engineering
dc.subject.authorSystem identificationen_US
dc.subject.authorInstrumental variableen_US
dc.description.serviceLieutenant, United States Coast Guarden_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US

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